| A survey of techniques for characterising fitness landscapes and some possible ways forward KM Malan, AP Engelbrecht Information Sciences 241, 148-163, 2013 | 173 | 2013 |
| Quantifying ruggedness of continuous landscapes using entropy KM Malan, AP Engelbrecht 2009 IEEE Congress on evolutionary computation, 1440-1447, 2009 | 78 | 2009 |
| Examples that can do harm in learning programming K Malan, K Halland Companion to the 19th annual ACM SIGPLAN conference on Object-oriented …, 2004 | 36 | 2004 |
| Fitness landscape analysis for metaheuristic performance prediction KM Malan, AP Engelbrecht Recent advances in the theory and application of fitness landscapes, 103-132, 2014 | 35 | 2014 |
| Adaptive genetic programming for dynamic classification problems M Riekert, KM Malan, AP Engelbrect 2009 IEEE Congress on Evolutionary Computation, 674-681, 2009 | 28 | 2009 |
| Virtual galleries: is 3D better? Z Hendricks, J Tangkuampien, K Malan Proceedings of the 2nd international conference on Computer graphics …, 2003 | 28 | 2003 |
| Characterising continuous optimisation problems for particle swarm optimisation performance prediction KM Malan University of Pretoria, 2014 | 26 | 2014 |
| Characterising the searchability of continuous optimisation problems for PSO KM Malan, AP Engelbrecht Swarm Intelligence 8 (4), 275-302, 2014 | 25 | 2014 |
| A progressive random walk algorithm for sampling continuous fitness landscapes KM Malan, AP Engelbrecht 2014 IEEE Congress on Evolutionary Computation (CEC), 2507-2514, 2014 | 23 | 2014 |
| Ruggedness, funnels and gradients in fitness landscapes and the effect on PSO performance KM Malan, AP Engelbrecht 2013 IEEE Congress on Evolutionary Computation, 963-970, 2013 | 23 | 2013 |
| Particle swarm optimisation failure prediction based on fitness landscape characteristics KM Malan, AP Engelbrecht 2014 IEEE Symposium on Swarm Intelligence, 1-9, 2014 | 21 | 2014 |
| Introducing Delphi Programming, Theory through practice, Fourth edition J Barrow, L Miller, K Malan, H Gelderblom Oxford University Press, Southern Africa, 2005 | 16* | 2005 |
| Benchmarking in optimization: Best practice and open issues T Bartz-Beielstein, C Doerr, D Berg, J Bossek, S Chandrasekaran, ... arXiv preprint arXiv:2007.03488, 2020 | 15 | 2020 |
| Saccade deviation indicators for automated eye tracking analysis JA De Bruin, KM Malan, JHP Eloff Proceedings of the 2013 conference on eye tracking south africa, 47-54, 2013 | 14 | 2013 |
| Characterising constrained continuous optimisation problems KM Malan, JF Oberholzer, AP Engelbrecht 2015 IEEE Congress on Evolutionary Computation (CEC), 1351-1358, 2015 | 13 | 2015 |
| Analysis of stagnation behavior of vector evaluated particle swarm optimization W Matthysen, AP Engelbrecht, KM Malan 2013 IEEE Symposium on Swarm Intelligence (SIS), 155-163, 2013 | 11 | 2013 |
| Algorithm comparisons and the significance of population size KM Malan, AP Engelbrecht 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on …, 2008 | 11 | 2008 |
| Analysis of error landscapes in multi-layered neural networks for classification A Rakitianskaia, E Bekker, KM Malan, A Engelbrecht 2016 IEEE Congress on Evolutionary Computation (CEC), 5270-5277, 2016 | 10 | 2016 |
| Characterising neutrality in neural network error landscapes WA van Aardt, AS Bosman, KM Malan 2017 IEEE Congress on Evolutionary Computation (CEC), 1374-1381, 2017 | 9 | 2017 |
| User authentication based on continuous touch biometrics CJ Kroeze, KM Malan Computer Society of South Africa, 2016 | 9 | 2016 |
Andries EngelbrechtStellenbosch University, Department of Industrial Engineering, and Division of Computer ScienceVerified email at sun.ac.za
